Microservices with Spring Cloud and Kafka Training Course

Course Code

springcloudkafka

Duration

21 hours (usually 3 days including breaks)

Requirements

  • An understanding of enterprise architecture concepts.
  • Experience with Java application development.

Audience

  • Developers

Overview

Spring Cloud is a microservices framework for building Java applications for the cloud. These microservices are often run as Docker containers inside a Kubernetes cluster. Other components include message brokers such as Kafka to enable inter-service communication and databases such as Redis to store and buffer application data.

This instructor-led, live training (online or onsite) is aimed at developers who wish to transform traditional architecture into a highly concurrent microservices-based architecture using Spring Cloud, Kafka, Docker, Kubernetes and Redis.

By the end of this training, participants will be able to:

  • Set up the necessary development environment for building microservices.
  • Design and implement a highly concurrent microservices ecosystem using Spring Cloud, Kafka, Redis, Docker and Kubernetes.
  • Transform monolithic and SOA services to microservice based architecture.
  • Adopt a DevOps approach to developing, testing and releasing software.
  • Ensure high concurrency among microservices in production.
  • Monitor microservices and implement recovery strategies.
  • Carry out performance tuning.
  • Learn about future trends in microservices architecture.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.

Course Outline

Introduction

  • Transforming traditional architecture into microservices architecture

Overview of Spring Cloud Features and Architecture

Preparing the Development Environment

Installing and Configuring Spring Cloud

Creating a Microservices Application

Containerizing Microservices with Docker

Enabling Inter-Service Communication Using Kafka

Preparing the Database

Reading and Writing to the Database

Using Redis to Buffer Messages

Bringing it all Together

Testing the Application

Debugging the Application

Scaling Dockerized Microservices with Kubernetes

Deploying the Application

Setting up a Continuous Integration Pipeline

Securing the Application

Adopting a DevOps Mentality

Formalizing the DevOps Cycle

Troubleshooting

Future Trends in Software Architecture

Summary and Conclusion

Testimonials

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